Lead QSP Scientist: Multiscale Disease Modeling

Sanofi; Northern (KY); Hybrid; USD 122,000 - 177,000; Full time

Job summary

Sanofi is seeking a Principal Scientist in Quantitative Systems Pharmacology in Cambridge, MA, to advance process-wide mechanistic models for drug discovery and development. You will work within a cross-disciplinary team to build and apply multiscale models and to translate complex data into actionable insights.

The role emphasizes literature survey, data integration from preclinical and clinical studies, and clear communication of predictions to stakeholders.

Qualifications

• PhD or Master's degree in systems pharmacology, biology, computational biology, systems biology, biomedical engineering, or a related field.
• For PhD candidates: minimum 2 years hands-on experience generating disease models, mechanistic/multiscale models or QSP models.
• For Master degree candidates: minimum 4 years experience generating disease models, mechanistic/multiscale models or QSP models in industry/pharma.
• Proficiency in mathematical modeling using differential equations.
• Machine learning experience.
• Extensive experience in MATLAB, Julia and R.
• Excellent oral and written communication skills.
• Ability to quickly learn pathophysiology in indications of interest.

Responsibilities

• Develop and apply multiscale computational models of complex diseases based on detailed biological mechanistic knowledge to support model-informed drug discovery & development.
• Survey literature to gain understanding of critical physiological processes to be represented, and identify suitable mechanistic elements, data, parameters and assumptions to be included.
• Identify and analyze suitable preclinical and clinical data to inform modeling activities.
• Analyze simulation results and identify appropriate strategies to resolve issues pertaining to model performance and accuracy.
• Maintain extensive documentation of model development process, and data analysis.
• Maintain quantitative systems pharmacology expertise through comprehensive education
• Communicate modeling predictions to key stakeholders.

Skills

Mathematical modeling

Machine learning

Communication skills

Independent researcher

Collaborative team

Education

PhD in systems pharmacology or related field

Master's in related field

Tools

MATLAB

Julia

R

Job description

Sanofi is seeking a Principal Scientist in Quantitative Systems Pharmacology in Cambridge, MA, to advance process-wide mechanistic models for drug discovery and development. You will work within a cross-disciplinary team to build and apply multiscale models and to translate complex data into actionable insights.

The role emphasizes literature survey, data integration from preclinical and clinical studies, and clear communication of predictions to stakeholders.